Evidence map›Paper›PMID 41839891›Full record

ArticleNature communications2026

Implantable soft bladder-machine interface for neurogenic bladder dysfunction.

Hanfei Li, Shuai Wang, Qianhengyuan Yu, Hang Zhao, Zhuochao Tang, Linchen Lv, Fei Han, Ruofan Yang, Yang Zhao, Zhuojia Fu and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Hanfei Li *Neural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shuai Wang *Department of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0003-1037-245X
Qianhengyuan YuNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Hang ZhaoNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Zhuochao TangSchool of Management Science and Engineering, Anhui University of Technology, Maanshan, China.
Linchen LvDepartment of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Fei HanNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-5143-9836
Ruofan YangNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yang ZhaoNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Zhuojia FuCollege of Mechanics and Engineering Science, Hohai University, Nanjing, China.
Benkang ShiDepartment of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-6493-799X
Guanglin LiNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Changxian WangSchool of Mechanics and Construction Engineering, Jinan University, Guangzhou, China.
Jie ZhangSchool of Mechanics and Construction Engineering, Jinan University, Guangzhou, China.ORCID 0000-0003-0573-9827
Kaikai SongSchool of Airspace Science and Engineering, Shandong University, Weihai, China. songkaikai@sdu.edu.cn.ORCID 0000-0002-5832-7546
Yan LiDepartment of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. yanli@sdu.edu.cn.ORCID 0000-0003-4847-3037
Zhiyuan LiuNeural Engineering Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. zy.liu1@siat.ac.cn.ORCID 0000-0001-9231-8195

Funding

Guangdong Provincial Key Laboratory of Multimodality Non-Invasive Brain-Computer InterfacesInternational Partnership Program of Chinese Academy of SciencesShenzhen Science and Technology Program
6 · The paper itself

Abstract

Neurogenic bladder dysfunction impairs bladder sensation and contraction, causing severe renal complications. The bladder's large isotropic expansion hinders the development of implantable bioelectronic devices for monitoring and electrical stimulation. Addressing this, we report an implantable soft bladder-machine interface (BdMI) that integrates seamlessly with the bladder, providing monitoring and electrical stimulation. This BdMI features a conductive thin film capable of keeping functions under isotropic stretch up to 800%, created without the complex pre-stretching of its elastic substrate. We elucidate its stretchability mechanism and validate the BdMI in rat models, which enables simultaneous intravesical pressure detection, detrusor electromyographic monitoring, and electrical stimulation therapy. Implanted for 7 days, the BdMI operates efficiently and markedly reduces involuntary bladder contraction frequency post-stimulation. These findings validate the potential of BdMI in offering real-time, physiological feedback and electrical stimulation-based regulation for neurogenic bladder pathologies, marking a significant advancement in the field.

Indexed as

Electric Stimulation TherapyProstheses and ImplantsUrinary BladderUrinary Bladder, NeurogenicAnimalsDisease Models, AnimalElectric StimulationElectromyographyFemaleRatsRats, Sprague-Dawley

Identifiers

PMID41839891
PMCPMC12992585

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.